Iterated discrete polynomially based Galerkin methods

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Golberg and Bowman [Appl. Math. Comput. 96 (1998) 237] have studied polynomially based discrete Galerkin method for Fredholm and Singular integral equations. In this paper we consider polynomially based iterated discrete Galerkin method for solution of operator equations and for eigenvalue problem associated with an integral operator with a smooth kernel. We show that the error in the infinity norm, both for approximation of operator equation and of spectral subspace, is of the order of n−r, where n is the degree of the polynomial approximation and r is the smoothness of the kernel. Thus the iterated discrete Galerkin solution improves upon the discrete Galerkin solution, which was shown to be of order n−r+1 by Golberg and Bowman [Appl. Math. Comput. 96 (1998) 237]. We also give a shorter proof of the result by Golberg and Bowman which states that the error in 2-norm in discrete Galerkin method is of the order of n−r.

论文关键词:Convergence rates,Iterated discrete Galerkin,Spectral approximation,Integral equations,Polynomially based

论文评审过程:Available online 30 January 2003.

论文官网地址:https://doi.org/10.1016/S0096-3003(02)00533-7